Cerebras has developed a radically new chip and system to dramatically accelerate deep learning applications. Our system runs training and inference workloads orders of magnitude faster than contemporary machines, fundamentally changing the way ML researchers work and pursue AI innovation.

We are innovating at every level of the stack – from chip, to microcode, to power delivery and cooling, to new algorithms and network architectures at the cutting edge of ML research. Our fully-integrated system delivers unprecedented performance because it is built from the ground up for deep learning workloads.

Responsibilities 

• Translate high level architecture spec to micro-architecture feature requirements
• Develop RTL, validate functionality and perform synthesis for new micro-architectural features
• Enable turn-key PPA trade-off analysis methodologies to ground new architectural features
• Generate initial micro-architecture spec supported by feasibility studies
• Develop targeted power tests for existing and new architecture and extract power efficiency features
• Engage with design teams via regular reviews and enable seamless handoff for further execution

Skills & Qualifications

• Masters/PhD in Electrical/Computer Engineering 
• 10+ years of experience in micro-architecture definition and development across GPUs, CPUs or accelerator products
• Strong background in computer architecture and micro-architecture fundamentals
• Experience working on Power, Performance and Area (PPA) analysis and trade-offs
• Comfortable with developing new and PPA optimized datapath and control RTL blocks
• Exposure to micro-architecture evaluation methodologies via synthesis and power analysis EDA tools
• Accelerator development experience is a plus

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

1. Build a breakthrough AI platform beyond the constraints of the GPU
2. Publish and open source their cutting-edge AI research
3. Work on one of the fastest AI supercomputers in the world
4. Enjoy job stability with startup vitality
5. Our simple, non-corporate work culture that respects individual beliefs

Read our blog: Five Reasons to Join Cerebras in 2024.

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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